paiyun-huang/autotrain-data-analytics-intent-reasoning

AutoTrain Dataset for project: analytics-intent-reasoning

Dataset Description

This dataset has been automatically processed by AutoTrain for project analytics-intent-reasoning.

Languages

The BCP-47 code for the dataset's language is zh.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "\u9500\u552e\u91d1\u989d\u7684\u540c\u6bd4",
    "target": 1
  },
  {
    "text": "\u676d\u5dde\u54ea\u4e2a\u533a\u7684\u9500\u552e\u91d1\u989d\u6700\u9ad8",
    "target": 1
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['\u62a5\u8868\u6784\u5efa', '\u67e5\u8be2\u7c7b', '\u67e5\u8be2\u7c7b\u67e5\u8be2\u7c7b'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	72
valid	20